Forecasting DAX 30 using support vector machines and VDAX

  1. Rosillo, R. 1
  2. Giner, J. 2
  3. de la Fuente, D. 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  2. 2 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Book:
Computational Intelligence Techniques for Trading and Investment

Publisher: Taylor and Francis

ISBN: 9780203084984

Year of publication: 2014

Pages: 177-191

Type: Book chapter

DOI: 10.4324/9780203084984 SCOPUS: 2-s2.0-84905943413 GOOGLE SCHOLAR
Data source: Scopus